Hi,
Correct me if i'm wrong, but as your input geometries are bbox
rectangle, you could juste use
an bbox filter to see if rectangles overlaps:
SELECT *
FROM portal.metadata as cat
WHERE cat.location && 'SRID=4326;POLYGON((-70.9433962
41.5384615,-72.5283019 41.5384615,-72.5283019 41.1538462,-70.9433962
41.1538462,-70.9433962 41.5384615))'::geometry;
Nicolas
On 7 March 2012 18:26, DrYSG <ygutfre...@draper.com> wrote:
> I have a table with 21 Million Rows. The Geometry field is a simple
> rectangular bounding box (Polygon with 4 corners).
>
> Users will be doing executing queries to find all overlapping rows to a user
> supplied rectangle. I have been finding that my naive query of:
>
> SELECT *
> FROM portal.metadata as cat
> WHERE ST_Overlaps(cat.location,ST_GeomFromText('POLYGON((-70.9433962
> 41.5384615,-72.5283019 41.5384615,-72.5283019 41.1538462,-70.9433962
> 41.1538462,-70.9433962 41.5384615))', 4326));
>
> Can take up to 40 seconds on a cold location. However, an ST_Contains query
> of a point is only about 8 seconds. Yes, location is indexed using GIST.
>
> CREATE INDEX catalog_location_idx
> ON portal.catalog
> USING gist
> (location );
>
> Now, it first stuck me as odd that it was taking more than 4 times the point
> query to discover overlap. Then I thought about it, and I can see cases
> where there ST_Overlaps cannot assume certain geometries.
>
> I am now considering doing a WHERE clause that checks for ST_Contains for
> both the Top-Left and Bottom-Right corners of the QueryRectangle since I
> know that all bboxes in the DB are rectangular.
>
> But I thought I would see what those with knowledge of the internals of the
> spatial functions have to say.
>
> Ideas?
>
>
>
> --
> View this message in context:
> http://postgis.17.n6.nabble.com/ST-Overlaps-and-performance-tp4555465p4555465.html
> Sent from the PostGIS - User mailing list archive at Nabble.com.
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